Solving multi-task optimization problems using the sine cosine algorithm
Optimization problems relate to the problem of finding minimum or maximum values from a large pools of solutions whereby exhaustive search is practically impossible. Often, optimization problems are solved using metaheuristic algorithms which provide good enough solution within reasonable execution...
Main Authors: | Kamal Z., Zamli, Kader, Md. Abdul |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Association for Computing Machinery
2022
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34368/1/Solving%20multi-task%20optimization%20problems%20using%20the%20sine%20cosine%20algorithm_FULL.pdf http://umpir.ump.edu.my/id/eprint/34368/2/Solving%20multi-task%20optimization%20problems%20using%20the%20sine%20cosine%20algorithm%20.pdf |
Similar Items
-
An improved sine cosine algorithm for solving optimization problems
by: Mohd Helmi, Suid, et al.
Published: (2018) -
A population division based multi-task optimization algorithm for solving multiple-team formation problem based on Tiki-Taka optimization algorithm
by: Ahmmed, Mohammad Badal, et al.
Published: (2022) -
Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems
by: Shuhairie, Mohammad, et al.
Published: (2020) -
Sine-cosine optimization-based bijective substitution-boxes construction using enhanced dynamics of chaotic map
by: Alzaidi, Amer Awad, et al.
Published: (2018) -
Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation
by: Din, Fakhrud, et al.
Published: (2022)